class ENVConfig:
    def __init__(self,visenv):

        self.edge_num = 3
        self.nodes_of_edge = 4
        self.obs_dim = self.edge_num*4+2
        self.action_dim = self.edge_num
        self.random_seed = 41
        self.NumOfUsers = 10
        self.totalStep = 1e4
        self.RamSeed = 0
        self.totalStep = 1e4
        self.GenerateTaskSpeed = 5
        self.TaskInitID = 0
        self.train_eps = 100
        self.visenv = visenv  #绘图
        self.policy='agent'  #agent:智能体   random:随机    optimal_time_matching 最优时间匹配,选择计算和传输时间最小者
        self.test_eps = 2
        self.env_name = 'NetworkEnv_v1'
        self.split=0
        self.split_num=2
        self.render=True
        self.MODE = 'TS' #TS FOR TEST,TN FOR TRAIN
        self.alo_name = ''
        self.alpha_w = 2.2



